sophomores,7 juniors, and 10 seniors). The statistical methods and techniques used in this study include:descriptive statistics, analysis of variance (ANOVA) tables, spider charts, hypothesis testing,regression analyses, percentage change, and percentage difference.From the sample data analyzed, MUSE students consistently demonstrate higher behavior stylesof S-Steadiness and C-Conscientiousness with slightly lower behavior styles of D-Dominanceand I-Influence. Most female students possess Social and Aesthetic attitudes, while males aremore Utilitarian; both are Traditional and Theoretical. For People Skills, MUSE studentsimproved and/or mastered 19 of the 23 areas by the senior level, but lack mastery of skills inConflict Management, Creativity
instruction, Prentice Hall, Upper Saddle River, NJ.4. Evans, D. L., Gray, G. L., Krause, S., Martin, J., Midkiff, C., Notaros, B. M., et al. (2003). Progress on concept inventory assessment tools. Proceedings of the 33rd Annual ASEE/IEEE Frontiers in Engineering Conference, Boulder, CO.5. Rhoads, T. R., and Roedel, R. J. (1999). The wave concept inventory-a cognitive instrument based on Bloom's taxonomy. Proceedings of the 29th Annual ASEE/IEEE Frontiers in Engineering Conference, San Juan, PR.6. Martin, J. K., Mitchell, J., and Newell, T. (2004). Work in progress: analysis of reliability of the fluid mechanics concept inventory. Proceedings of the 34rd Annual ASEE/IEEE Frontiers in Engineering
Engineering.Jyothsna Kavuturu, Jyothsna K. S., Department of English, St.Joseph’s College, Bangalore, secured a gold medal for the high- est aggregate marks in the Post Graduate English Literature Course at St.Joseph’s College (autonomous). K. S. has been working for the Department of English, St.Joseph’s College for almost two years now, teaching both undergraduate and Postgraduate courses in English. K. S. has published papers in intramu- ral and extramural publications, and presented papers at several conventions, conferences, and seminars. Page 23.1122.1 c American Society for Engineering
detailing their projectin a multi-page overview. Their graded scores over the research progress were high, placingthem in GPA range for the courses 3.6 and above (as measured by percentage score). Over thepercentage score, the students were rated on a satisfactory level equivalent, from S+ to S- asshown in Figure 2.Most programs that are not connected to a specific graduate program and have a technical focus,such as Engineering, tend to not meld English into their technical program as a requirement; it isnot deemed as necessary as the technical work is completed. For SAIP, the cohesion betweenEnglish and Engineering prepares the students better for graduate programs, giving them thelanguage skills they need in addition to a well-planned technical
graduate a student is required tocomplete each aspect of the design process. Table 1 describes design components and projectassignments to be completed in a student’s junior or senior year. Each student must complete theindividual score card prior to the graduation. Page 23.397.4Table1. Individual Design Score Card (S: Senior, J: Junior) Design Components Year First Second Third Fourth Semester Semester Semester Semester Scoping I J Scoping II S Background Survey I J Background Survey
and curricular materials development in other disciplines.Acknowledgements This material is based upon work supported by the National Science FoundationEngineering Education Program under Grant No. 1055356. Any opinions, findings andconclusions or recommendations expressed in this material are those of the author and donot necessarily reflect the views of the National Science Foundation.Bibliography1. Nrc, ed. How People Learn: Brain, Mind, Experience, and School. ed. J. Bransford, et al. National Academy Press: Washington, D.C. xxiii, 319 p. (1999).2. S. Vosniadou, ed. International Handbook of Conceptual Change. Routledge: New York. (2008).3. B.K. Hofer and P.R. Pintrich, The development of epistemological theories
, computer, or similara. the application of circuit analysis and design, computer programming, associated modifiers in their titles.software, analog and digital electronics, and microcomputers, and engineeringstandards to the building, testing, operation, and maintenance of 1. Curriculumelectrical/electronic(s) systems. The structure of the curriculumb. the applications of physics or chemistry to electrical/electronic(s) circuits in a must provide both breadth andrigorous mathematical environment at or above the level of algebra and depth across the range oftrigonometry. engineering topics
Russian innovative universities.The activities of KNRTU are oriented towards the innovative development and establishment ofnew PPP mechanisms. The additional professional education system of the University is open tothe experimentation with and integration of processes, testing the different forms of relevantinteraction among all of the interested parties involved in training and advancing pro-fessionalpersonnel to meet the highest demands of the modern labor market.In 2008, KNRTU developed the target program called „Additional Education as a Factor of theInnovation-Driven Development of the University‟. The aim of this program is to boost theuniversity‟s rating, its competitiveness and attractiveness on the market of the educationalservices
assessment instruments.III. E XPERIMENTAL S TUDY D ESIGNBuilding on the related research and pedagogical underpinnings in Section II, we consider herethe design of the experimental study. The primary hypothesis of the research study is as follows:“There exists significant improvement in the engagement, student interest, and motivation forsoftware engineering content using an integrated approach of active and deign-based learningcompared to traditional teaching approaches.” Traditional approaches refer to a combinationof lectures, tutorials and lab sessions for a software engineering course.To test this hypothesis, the experimental study included the design of software-engineeringcourse content, coordination of the study’s control (traditional) and
m questionns for the daay; see Sectiion 3.3. Thesequestions provided th he rationale for coveringg the materiaal on a particcular day. When W viewedd atthe end of o the semestter the questtions represeented a frameework withinn which the course wasorchestraated and a means m for the students to frame their Semester S Leearning Essaays.3.1 Courrse organizaationThe relattionship betw ween the teaam organizattion and the course c conteent is displayyed in Figuree 2
& Electronic Technology, Mathematics Faculty Member and Full Professor at Northern Essex Community College.Prof. Lori Heymans, Northern Essex Community College Page 23.606.1 c American Society for Engineering Education, 2013 First-year Project-Based Engineering: The Secret to Student SuccessAbstractThis paper describes a project-based first-year introductory course at a community college whichemphasizes working in teams on hands-on projects that require using EXCEL and MATLAB.Assignments involve graphing data for Ohm‟s Law and the speed of sound in air, distancemeasuring using ultrasound
propose an evaluation process for the programme. Thefindings will be used to provide guidelines for the engineering leadership developmentprogrammme design specifically for higher education in Southern Africa.1. IntroductionWomen in engineering programmes are a crucial part of a country‟s response to the need formore women in engineering 8. A South African comprehensive university based in PortElizabeth, in collaboration with the merSETA (manufacturing and services seta*) responded tothe need for more women engineers by initiating the Women in Engineering LeadershipAssociation (WELA) in 2011. The goals of WELA are to focus on academic, professional andpersonal development of women engineering students (WES). Two successful years of growthand
research in physics education. Ohio: ICPE Books, 1-10.26. de Berg, K.C. (1995). Student understanding of the volume, mass, and pressure of air within a sealed syringe in different states of compression. Journal of Research in Science Teaching 32(8), 871-884.27. Kesidou, S. and Duit, R. (1993). Students’ conceptions of the second law of thermodynamics – an interpretive study. J. Res. Sci. Teach., 30(1), 85-106.28. Roberts, I. F. and Watts, D. S., (1976). The teaching of thermodynamics at preuniversity level. Phys. Educ., 11, 277-284.29. Kaper, W. H. and Goedhart, M. J., (2002b). Forms of energy, an intermediary language on the road to thermodynamics? Part II. Int. J. Sci. Educ., 24, 119-137.30. Kaper, W. H. and Goedhart, M. J., (2002a
190Introduction:MATLAB is a widely used matrix based equation solving program, which has a CommandWindow for interactive use and a program editor. It has the features of a general purposeprogramming language along with a vast collection of built-in functions which include extensivegraphical capability. MATLAB‟s basic plotor plot3functionsgenerate two or three dimensionalgraphs of data vectors. Creating Graphical User Interfaces (GUIs) enable interaction withgraphical objects such as text boxes and push-buttons.GUIs are examples of hierarchal object oriented programming, where the graphical objects are“children” of a “parent”, which can be a figure or a panel of objects or group of buttons. For theexamples to be presented, the “parent” will always be a figure
Commonwealth of Virginia. His research activities have been in the area of digital communication systems and coding theory. He is currently a co-PI on the NSF S-STEM grant at Rowan University, whose goal is to increase the number of technically proficient graduates who will contribute to the economic vitality of the region. Page 23.327.2 c American Society for Engineering Education, 2013 CONFIGURATION AND ASSESSMENT OF A SENIOR LEVEL COURSE IN BIOMETRIC SYSTEMSABSTRACTIt is very important that modern topics be covered at the senior undergraduate level inorder that students benefit
s s Z1sin C1+C2 Step1 K1+K2 K2 -K1*L1-K2*L2 C2 -C1*L1+C2*L2 C2*L2 Z2_dot
(running) (Leader) 12 2012 LabVIH – Virtual labs with haptic interaction (running) (Team element)Table III shows for each project the involvements: academics (R), Students (S) andTechnicians (T). It is possible to identify teams multidisciplinarity. With budgets below5.000€ (usually around 3000€), it is clear that nothing would have been achieved withoutthe enthusiastic, committed and generous participation of many colleagues, students andtechnicians from several Faculties, Departments, Services, Laboratories, Institutes andResearch Centers. Table III – Projects in Table II and Teams 1 2 3 4 5 6 7 8 9 10 11 12 Mech. Eng. RS RS RS RS
modelis a model-of a situation that is familiar to the students. By a process of generalizing andformalizing, the model eventually becomes an entity on its own. It becomes possible to use it asa model-for mathematical reasoning.Finally, the RME guided reinvention principle is adopted and used as a part of methodology.According to RME instructional design theory, the teacher provides guidance, playing a‘proactive role’ within the classroom setting. This study allows every student to decide whetherand to what extent s/he needs guidance which in turn is provided in the specially designedguiding-reflecting journal.Participants and MethodsTen students from Vancouver Templeton Secondary School ranging in age from 17 to 18 years,5 males and 5 females
laws to obtain the system model(i.e., ordinary differential equation) for one and two degree of freedom systems (this activity isidentical to initial HW assignments in previous offerings) and manually solve the system ofequations to determine the time response using Laplace transforms and partial fraction expansion(or the equivalent), for overdamped and underdamped cases/scenarios. Activity 2: Time Response/Experimental determination of transfer function/Model Verification(Chapter 4) Students will investigate the transient and equilibrium responses of the systems investigatedin Activity 1 using the final value theorem and system time constant(s) or damping ratio andnatural frequency values, similar to activities conducted in prior course
, thevelocity is zero everywhere, and for t ≥ 0, Vx at y=0 is 2 ft/s, and the fluid is water ( = 10-5ft2/s). Choose time interval of 2 sec and distance step (delta y) as 0.05 ft for the calculations. Vx Vx 2 2 t y Use discretized algebraic equivalent of the above equation and by creating a x-y grid calculatevelocity at nodes (1,1), (2,2) and (3,1). Predict laminar velocity profiles for a flow of twoadjacent fluids inside a tube.The above example problem is a typical textbook problem, however, before it was administered,author identified different concepts and concept levels (basic, moderate and advanced) anddeveloped three concept group exercises and administered them sequentially.Concept
So in a sense the question here is: Do students who exhibit specific difficulties in de-scribing rigid body motion at the beginning of Statics exhibit specific difficulties in assessingequilibrium at the beginning or end of Statics? If so, might identifying these students at the startof Statics allow the instructor(s) to more effectively address these students’ expected challengesand give those students a better chance of exiting Statics with a consistent and correct approachto assessing equilibrium? This work attempts to answer the first of these two questions.MethodologyTo test the notion that understanding a dynamic rigid body gives a better foundation for under-standing a static rigid body, students complete a pair of simple questions
-level class, with twenty-eight survey responses, highlights of the surveyinclude the following: Constrained-response: the questions asked in this category are shown in Table 1. A quarter of the students who responded indicated they did not watch any of the recorded videos at all, leading to an average of only 2.74 videos (out of the thirty available videos) watched by each student. One reason for their failure to do so could be that the instructor stopped sending out weekly reminders that the videos were available for them to watch after the third week of instruction. For those who did watch, about 55% of the students watched the lecture videos in their entirety, while the rest watched only part(s) of the videos. None
demonstrate differences in team performance for simulations and real robotexperiments. While simulations are good for quicker testing and a cheaper solution thanpurchasing equipment, conducting experiments with real robots allows for more accurate results.In physical experiments, there are many factors, such as robot interference, an unknownenvironment, and delayed communications, which can influence results. However, running realexperiments are required to accurately test the efficiency of an approach. Future work includesexamining these factors further.Bibliography[1] S. Dawson, B. L. Wellman, and M. Anderson, “Using simulation to predict multi-robot performance on coveragetasks,” in Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ
locations. Steel structure design is one of the main approaches to thismission. Starting in the late 1800’s, steel became readily available for applications in large-scaleengineering structures. This triggered a tide of tall buildings, including the Home InsuranceBuilding in Chicago and the Manhattan Building in New York1. Steel frame buildings began torise all across the nation without any major changes in their connections or design for nearly acentury after the 1880’s. But after the structural failures during the 1994 Northridge Earthquake,there was a fundamental rethinking in the design of seismic resistant steel moment connections.This led to the SAC Steel Project research funded by FEMA2. The San Francisco Bay Regionexperienced large and
the dead-zone in terms of the new input signal u mL2 mgL sin c KLu . (4) Upon completion of this task, students are asked to verify that a non-linear feedback law in theform of mg u sin w (5) Lwill also linearize the plant (4) by cancelling mgL sin producing a linear system describedby a second order transfer function ( s ) KL
year 1612. It was in this station that Harvey began to start hisresearch and further his understanding about the anatomy of the human body. Harvey spent theseyears focused upon the circulatory system of the body. He was fascinated with the process ofblood circulation, and was continually searching for the truth behind the process. As “physicianextraordinary” to James I, Harvey had some access to cadavers by which to conduct his research.This access to the human body proved invaluable in Harvey’s research, however he began to seethings that did not match up to the commonly held teachings of the time.During the 1600’s the view of the circulatory system was that of a body full of veins which couldpump blood both to and from the heart
Heat Exchanger In-Class ActivityDirectionsIn groups of two solve the following heat exchanger design problem using EES.DeliverablePer group, fill out one solution sheet (attached). The answer sheet is set up such that you can fillit out as you go, and gives you a hint to the order of equations you can solve as you determine asolution, i.e. you can solve as you go along, not just at the end.ProblemA counter flow heat exchanger is used to heat 1.25 kg/s of water form 35 to 80◦ C by coolingan oil (specific heat of 2.0 kJ/kg◦ C) from 150 to 85◦ C. The overall heat transfer coefficient is850 W/m2◦ C. A similar arrangement is to be built at another plant location, but it is desired tocompare the performance of the single counterflow heat exchanger
modules engage visitors in learning to express their needs assertively,negotiate effectively when interests and positions may diverge, and manage conflict as it arisesin their environment(s). The Advanced Strategies rely on the mastery of the Essential Skills andunderstanding of Communication Elements. The Advanced Strategies modules and associatedskills are presented in Table 3. The following is a sample of text taken from the Introductionsection of the Advanced Strategy entitled, Negotiation: Negotiation is a discussion between two or more people that involves two main functions: identifying a common ground and reaching an explicit agreement regarding a matter of mutual concern. It’s an advanced strategy that relies on the
Foundation. The authors would also like to acknowledge Lauren Gibboney, JosephLuke, James McIntyre, John Nein, and Joshua Rush for their work developing the Adaptive Maptool.6. References[1] T. L. Russell, The No Significant Difference Phenomenon. North Carolina State University, 1999.[2] D. F. Dansereau, “Node-Link Mapping Principles for Visualizing Knowledge and Information,” in Knowledge and Information Visualization, vol. 3426, S.-O. Tergan and T. Keller, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005, pp. 61–81.[3] G. W. Ellis, A. Rudnitsky, and B. Silverstein, “Using concept maps to enhance understanding in Engineering Education,” International Journal of Engineering Education, vol. 20, pp. 1012–1021, 2004.[4] M. W. A
caretaker. The Bridge House was recently transformed by undergraduatestudents6 into a structural dynamics laboratory, including aesthetic rehabilitation, fabrication andinstallation of testing equipment and the addition of removable braces to alter the buildingdynamic response. The Bridge House is ideal for vibration experimentation since it is simpleenough for the students to quickly model by hand calculations and with computational models,yet complex enough so that the results can be readily applied to an actual structure. Thestructural system is straightforward consisting of ordinary moment frames in the N/S direction,and concentrically braced frames in the E/W direction. Removable braces were also installed inthe E/W direction (see Figure 1c